Automatic detection of hypertensive retinopathy using improved fuzzy clustering and novel loss function
Author:
Publisher
Springer Science and Business Media LLC
Subject
Computer Networks and Communications,Hardware and Architecture,Media Technology,Software
Link
https://link.springer.com/content/pdf/10.1007/s11042-023-15044-2.pdf
Reference50 articles.
1. Abbas Q, Ibrahim MEA (2020) Densehyper: an automatic recognition system for detection of hypertensive retinopathy using dense features transform and deep-residual learning. Multimed Tools Appl 79(41):31595–31623
2. Abbasi UG, Akram MU (2014) Classification of blood vessels as arteries and veins for diagnosis of hypertensive retinopathy. In 2014 10th International Computer Engineering Conference (ICENCO), pages 5–9. IEEE
3. Aggarwal AK (2022) Biological Tomato Leaf disease classification using deep learning framework. Int J Biol Biomed Eng 16(1):241–244
4. Agurto C, Joshi V, Nemeth S, Soliz P, Barriga S (2014) Detection of hypertensive retinopathy using vessel measurements and textural features. In 2014 36th annual international conference of the IEEE engineering in medicine and biology society, pages 5406–5409. IEEE
5. Akbar S, Akram MU, Sharif M, Tariq A, Khan SA (2018) Decision support system for detection of hypertensive retinopathy using arteriovenous ratio. Artif Intell Med 90:15–24
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